def __init__(self, *args, **kwargs):
session = kwargs.get('session', False)
if session:
self.session_id = session
else:
self.session_id = uuid.uuid1()
user = kwargs.get('user', False)
if user:
self.user_id = user
else:
self.user_id = None
self.rules = Rules(sessionid=self.session_id)
def __init__(self, * args, **kwargs):
session = kwargs.get('session', False)
if session:
self.session_id = session
else:
self.session_id = uuid.uuid1()
user = kwargs.get('user', False)
if user:
self.user_id = user
else:
self.user_id = None
self.rules = Rules(sessionid=self.session_id)
class Gozokia:
"""
Queue of rules
"""
rules = []
"""
Text analyzer controller
"""
analyzer = None
"""
Input/Output controller
"""
io = None
"""
GOZOKIA_DIR: The directory where gozokia have been calling.
"""
GOZOKIA_DIR = os.path.dirname(os.path.abspath(__file__))
"""
PROJECT_DIR: The directory where the project is running.
"""
PROJECT_DIR = os.getcwd()
RAISE_COND = 1
OBJETIVE_COND = 2
_no_rule = {'rule': "Gozokia", 'status': 0}
def __init__(self, *args, **kwargs):
session = kwargs.get('session', False)
if session:
self.session_id = session
else:
self.session_id = uuid.uuid1()
user = kwargs.get('user', False)
if user:
self.user_id = user
else:
self.user_id = None
self.rules = Rules(sessionid=self.session_id)
def initialize(self, *args, **kwargs):
# Set the text analyzer. Default nltk (http://www.nltk.org/)
self.analyzer = Analyzer()
# Set the model. Default nltk (http://www.nltk.org/)
model = kwargs.get('model', False)
self.db = model if model else Model()
# Initialize the logger
self.logger = Logging(__name__)
self.logger.debug("DB selected: {}".format(
settings.DATABASES['default']['ENGINE']))
self.logger.debug("Input selected: {}".format(
settings.GOZOKIA_INPUT_TYPE))
self.logger.debug("Output selected: {}".format(
settings.GOZOKIA_OUTPUT_TYPE))
self.logger.debug("Model: {}".format(self.db, ))
# Initialize the i/o methods. Default input text and output text
self.set_io(
input_type=settings.GOZOKIA_INPUT_TYPE,
output_type=settings.GOZOKIA_OUTPUT_TYPE,
)
def set_io(self, *args, **kwargs):
self.io = Io(*args, **kwargs)
def rule(self, **options):
"""A decorator that is used to register a class for a
given rule.
"""
def decorator(rule_class):
self.__add_rule(rule_class, **options)
return rule_class
return decorator
def __add_rule(self, rule_class, **options):
self.rules.add(rule_class, **options)
def check_system_rules(self):
"""
System rules are the core rules.
"""
rule = self._no_rule
if self.sentence:
sentence = self.sentence.lower()
if sentence.startswith('gozokia'):
if re.search("stop rule", sentence):
rule = self.rules.get_active_rule()
if rule is not None:
rule["class"].set_completed()
self.rules.stop_active_rule()
return "Stoped {}".format(str(rule['rule'])), rule
elif re.search("thanks|thank you", sentence):
return "Your welcome", rule
elif re.search("bye|exit|shutdown", sentence):
return "Bye", rule
return False, rule
def retrospective(self):
"""
Initialize the rules based on old chats of the session or the user
"""
chat_history = self.db.get_chat(session=self.session_id,
user=self.user_id)
print(chat_history)
for chat in chat_history:
if chat.type_rule == 'O':
for r in self.rules.get_rules():
if str(r['rule']) == str(chat.rule):
if chat.status == self.rules._STATUS_RULE_ACTIVE:
self.rules.set_active_rule(r)
elif chat.status == self.rules._STATUS_RULE_PENDING:
self.rules.set_rule_pending(r)
elif chat.status == self.rules._STATUS_RULE_COMPLETED:
self.rules.set_rule_completed(r)
def eval(self, sentence):
"""
Params:
sentence: sting
return:
response_output: string. the response to send to the IO output
print_output: string. The response to print, no parsed on IO output
"""
print_output = None
self.sentence = sentence
self.analyzer.set(sentence)
# Add the input to DDBB
self.db.set_chat(
**{
'user': self.user_id,
'session': self.session_id,
'text': self.sentence,
'type_rule': 'I',
'rule': None,
'status': None
})
self.retrospective()
response_output, rule = self.check_system_rules()
if not response_output:
# Check rules:
rule, response_output, print_output = self.rules.eval(self)
if not rule:
# Default "no rules"
response_output = "No rules. you said: {}".format(sentence)
rule = self._no_rule
# Add the output to DDBB
self.db.set_chat(
**{
'user': self.user_id,
'session': self.session_id,
'text': response_output,
'type_rule': 'O',
'rule': rule['rule'],
'status': rule['status']
})
return response_output, print_output
def get_response(self, input_result):
"""
"""
output_result = ""
print_output = ""
if input_result:
output_result, print_output = self.eval(input_result)
self.logger.debug(self.analyzer.get_tagged())
if print_output:
self.logger.debug(print_output)
return self.io.response(output_result)
return None
def console(self):
"""
The api method's designed to run in console
method works with the settings:
GOZOKIA_INPUT_TYPE = "terminal_txt" or GOZOKIA_INPUT_TYPE = "terminal_voice"
"""
output_result = True
p = multiprocessing.Process(target=start_led)
p.start()
while output_result != "Bye":
output_result = self.get_response(self.io.listen())
print(output_result)
self.logger.debug(self.db.get())
p.terminate()
def api(self, input_result):
"""
The api methods designed to receive a value and parse. This
method works with the settings:
GOZOKIA_INPUT_TYPE = "value"
------------------------------------------------------------
self.io.listen return a string
"""
return self.get_response(input_result=self.io.listen(
value=input_result))
class Gozokia:
"""
Queue of rules
"""
rules = []
"""
Text analyzer controller
"""
analyzer = None
"""
Input/Output controller
"""
io = None
"""
GOZOKIA_DIR: The directory where gozokia have been calling.
"""
GOZOKIA_DIR = os.path.dirname(os.path.abspath(__file__))
"""
PROJECT_DIR: The directory where the project is running.
"""
PROJECT_DIR = os.getcwd()
RAISE_COND = 1
OBJETIVE_COND = 2
_no_rule = {'rule': "Gozokia", 'status': 0}
def __init__(self, * args, **kwargs):
session = kwargs.get('session', False)
if session:
self.session_id = session
else:
self.session_id = uuid.uuid1()
user = kwargs.get('user', False)
if user:
self.user_id = user
else:
self.user_id = None
self.rules = Rules(sessionid=self.session_id)
def initialize(self, * args, **kwargs):
# Set the text analyzer. Default nltk (http://www.nltk.org/)
self.analyzer = Analyzer()
# Set the model. Default nltk (http://www.nltk.org/)
model = kwargs.get('model', False)
self.db = model if model else Model()
# Initialize the logger
self.logger = Logging(__name__)
self.logger.debug("DB selected: {}".format(settings.DATABASES['default']['ENGINE']))
self.logger.debug("Input selected: {}".format(settings.GOZOKIA_INPUT_TYPE))
self.logger.debug("Output selected: {}".format(settings.GOZOKIA_OUTPUT_TYPE))
self.logger.debug("Model: {}".format(self.db,))
# Initialize the i/o methods. Default input text and output text
self.set_io(input_type=settings.GOZOKIA_INPUT_TYPE,
output_type=settings.GOZOKIA_OUTPUT_TYPE,
)
def set_io(self, *args, **kwargs):
self.io = Io(*args, **kwargs)
def rule(self, **options):
"""A decorator that is used to register a class for a
given rule.
"""
def decorator(rule_class):
self.__add_rule(rule_class, **options)
return rule_class
return decorator
def __add_rule(self, rule_class, **options):
self.rules.add(rule_class, **options)
def check_system_rules(self):
"""
System rules are the core rules.
"""
rule = self._no_rule
if self.sentence:
sentence = self.sentence.lower()
if sentence.startswith('gozokia'):
if re.search("stop rule", sentence):
rule = self.rules.get_active_rule()
if rule is not None:
rule["class"].set_completed()
self.rules.stop_active_rule()
return "Stoped {}".format(str(rule['rule'])), rule
elif re.search("thanks|thank you", sentence):
return "Your welcome", rule
elif re.search("bye|exit|shutdown", sentence):
return "Bye", rule
return False, rule
def retrospective(self):
"""
Initialize the rules based on old chats of the session or the user
"""
chat_history = self.db.get_chat(session=self.session_id, user=self.user_id)
print(chat_history)
for chat in chat_history:
if chat.type_rule == 'O':
for r in self.rules.get_rules():
if str(r['rule']) == str(chat.rule):
if chat.status == self.rules._STATUS_RULE_ACTIVE:
self.rules.set_active_rule(r)
elif chat.status == self.rules._STATUS_RULE_PENDING:
self.rules.set_rule_pending(r)
elif chat.status == self.rules._STATUS_RULE_COMPLETED:
self.rules.set_rule_completed(r)
def eval(self, sentence):
"""
Params:
sentence: sting
return:
response_output: string. the response to send to the IO output
print_output: string. The response to print, no parsed on IO output
"""
print_output = None
self.sentence = sentence
self.analyzer.set(sentence)
# Add the input to DDBB
self.db.set_chat(**{'user': self.user_id, 'session': self.session_id,
'text': self.sentence, 'type_rule': 'I',
'rule': None, 'status': None})
self.retrospective()
response_output, rule = self.check_system_rules()
if not response_output:
# Check rules:
rule, response_output, print_output = self.rules.eval(self)
if not rule:
# Default "no rules"
response_output = "No rules. you said: {}".format(sentence)
rule = self._no_rule
# Add the output to DDBB
self.db.set_chat(**{'user': self.user_id, 'session': self.session_id,
'text': response_output, 'type_rule': 'O',
'rule': rule['rule'], 'status': rule['status']})
return response_output, print_output
def get_response(self, input_result):
"""
"""
output_result = ""
print_output = ""
if input_result:
output_result, print_output = self.eval(input_result)
self.logger.debug(self.analyzer.get_tagged())
if print_output:
self.logger.debug(print_output)
return self.io.response(output_result)
return None
def console(self):
"""
The api method's designed to run in console
method works with the settings:
GOZOKIA_INPUT_TYPE = "terminal_txt" or GOZOKIA_INPUT_TYPE = "terminal_voice"
"""
output_result = True
p = multiprocessing.Process(target=start_led)
p.start()
while output_result != "Bye":
output_result = self.get_response(self.io.listen())
print(output_result)
self.logger.debug(self.db.get())
p.terminate()
def api(self, input_result):
"""
The api methods designed to receive a value and parse. This
method works with the settings:
GOZOKIA_INPUT_TYPE = "value"
------------------------------------------------------------
self.io.listen return a string
"""
return self.get_response(input_result=self.io.listen(value=input_result))